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A physicochemically compatible ferrofluid droplet robotic system for automated bioanalytical assays

  • Christina C. K. Au Yeung
  • , Ruotong Zhang
  • , Chengzhi Zhang
  • , Xiaoxue Fan
  • , Yang Cao
  • , Chi Song
  • , Haisong Lin*
  • , Ho Cheung Shum*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Droplet robotics is an emerging area of research focused on harnessing externally programmable physical fields to drive liquid droplet motion and automate complex fluidic operations. One approach for driving droplet robotic systems utilizes magnetic attraction between droplets and magnetic actuators to enable programmable automated droplet manipulation through the introduction of magnetic components, such as nanoparticles, into the droplet. Compared to other droplet actuation mechanisms, magnetic actuation offers notable advantages including simple system design, high tolerance to liquid properties and flexible system control. However, the incorporation of magnetic ferrofluid nanoparticles introduces challenges related to their intrinsic physical colloidal stability and chemical catalytic characteristics, resulting in physicochemical incompatibility issues, restricting broader utilization in bioanalytical applications. In this work, the physicochemical incompatibilities of ferrofluid nanoparticles are investigated and resolved through surface modifications to the ferrofluid nanoparticles, enabling the development of a physicochemically compatible ferrofluid droplet robotic system. The system addresses compatibility issues including low colloidal stability and compromised chemical catalytic activity in HRP-based enzymatic assays. As a result, the enhanced actuation robustness and efficiency, as well as chemical quantification sensitivity and reliability, enable automated assays to be conducted. The enhanced physicochemical compatibility of the ferrofluid droplet robotic system facilitates the use of ferrofluid for highly efficient magnetically driven automated bioanalytical processes. © The Royal Society of Chemistry 2026.
Original languageEnglish
Pages (from-to)154-163
Number of pages10
JournalLab on a Chip
Volume26
Issue number1
Online published26 Nov 2025
DOIs
Publication statusPublished - 6 Jan 2026

Funding

The authors acknowledge the National Natural Science Foundation of China (No. 32201181), as well as Collaborative Research Fund (C7165-20GF), Research Impact Fund (R4015-21) and General Research Fund (17307919, 17303123, 17208623) of the Research Grants Council of Hong Kong, Hong Kong. This study was supported by the Health@InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government. H. C. S. was funded in part by the RGC Senior Research Fellow (SRFS2425-7S04) by the RGC.

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This document is the Accepted Manuscript version of a Published Work that appeared in final form in Lab on a Chip, copyright © The Royal Society of Chemistry 2026 after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1039/d5lc00926j.

RGC Funding Information

  • RGC-funded

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